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This replication archive contains all scripts to replicate the analysis in

Rudolph, L., Däubler, T. and Menzner, J. 2022. Das Potential offener Listen für die Wahl von Frauen zum Bundestag. Ergebnisse eines Survey-Experiments. Politische Vierteljahresschrift. Forthcoming.

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For the do-file to work directly, we suggest setting up the following structure of files and folders:

1. Save all files of this archive in a working directory
2. Create subfolder "Tabellen" 
3. Create subfolder "Abbildungen"

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This replication archive contains the following files:

readme.txt                                   -- this file 
survey_instrument.pdf                        -- the full German questionnaire of the survey
Replikation_Rudolph_Daeubler_Menzner_2022.do -- reproduces figures 2,3,4,5,A.1,A.4,A.5,A.6,A.7,A.8 and tables 2,A.1,A.2 of main paper and appendix
GLES_Rudolph_Daeubler_Menzner_2022.do        -- reproduces figure A.3 and table 1 of main paper and appendix

Save the following files to a folder "Daten" at the level of the do-file to ensure proper replication: 

analysis.dta              -- reshaped and partially recoded original survey data compiled for this project; reduced to variables necessary for replication purposes;
abb3_data.xlsx            -- Data for Plot 3; transferred by hand; Data generation is replicated in Replikation_Rudolph_Daeubler_Menzner_2022.do 
abb4_data.xlsx            -- Data for Plot 4; transferred by hand; Data generation is replicated in Replikation_Rudolph_Daeubler_Menzner_2022.do 
linearkombinationen.xlsx  -- Data for Plots 5 & A.5; transferred by hand; Data generation is replicated in Replikation_Rudolph_Daeubler_Menzner_2022.do 

Save the following files to a folder "Daten/edit" at the level of the do-filw to ensure proper replication:
edit-Subfolder            -- Contains *.grec-files that are called within Replikation_Rudolph_Daeubler_Menzner_2022.do to edit plots to their final appearance

In order for GLES_Rudolph_Daeubler_Menzner_2022.do to work, download ZA6838_w15_sA_v5-0-0.dta, containing publicly available data from the German Longitudinal Election Study and save it to the "Daten"-Folder (available from doi:10.4232/1.13783; dataset citation: GLES (2021). GLES Panel 2016-2021, Wellen 1-15. GESIS Datenarchiv, Köln. ZA6838 Datenfile Version 5.0.0, https://doi.org/10.4232/1.13783.)


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We use the following computational environment:

Stata version 17
- Packages: grstyle, coefplot, estout, colrspace, tabout, mplotoffset, grc1leg

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